Ketty Siti Salamah

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About

Ketty Siti Salamah’s research bridges robotics, artificial intelligence, and financial technology, with a focus on practical, real-world applications. Her work on kinematic analysis for hexapod robots—cited 8 times—explores multi-degree-of-freedom manipulators for legged locomotion, contributing to the design of more agile and stable walking robots. In a striking pivot to computational finance, she developed a trading simulation platform using Python and Streamlit, integrating a machine learning decision tree to guide investment decisions in stocks and cryptocurrencies. This work, cited 5 times, addresses a critical need: protecting novice traders from fraudulent schemes by providing transparent, algorithm-driven strategies. Salamah’s ability to apply rigorous engineering principles across domains—from robotic gait analysis to AI-assisted trading—demonstrates a versatile, impact-driven research approach. Her work not only advances technical knowledge but also promotes safer, more accessible financial tools, making her a notable figure in both robotics and fintech innovation.